Evidence map›Paper›PMID 36268203›Full record

ArticleInternational journal of cardiology. Heart & vasculature2022

Mitzi M van Andel, Pim van Ooij, Vivian de Waard, Lukas M Gottwald, Roland R J van Kimmenade, Arthur J Scholte, Michael G Dickinson, Aeilko H Zwinderman, Barbara J M Mulder, Aart J Nederveen and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Hereditary Thoracic Aortic Diseases.Diagnostics (Basel, Switzerland) · 2024
    Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Mitzi M van AndelDepartment of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands.
Pim van OoijDepartment of Radiology & Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Vivian de WaardDepartment of Medical Biochemistry, Amsterdam University Medical Center, Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands.
Lukas M GottwaldDepartment of Radiology & Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Roland R J van KimmenadeDepartment of Cardiology, St. Radboud University Hospital, Nijmegen, the Netherlands.
Arthur J ScholteDepartment of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.
Michael G DickinsonDepartment of Cardiology, University Medical Center Groningen, Groningen, the Netherlands.
Aeilko H ZwindermanDepartment of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Center, Amsterdam, the Netherlands.
Barbara J M MulderDepartment of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands.
Aart J NederveenDepartment of Radiology & Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Maarten GroeninkDepartment of Cardiology, Amsterdam University Medical Center, Amsterdam, the Netherlands.
Amsterdam University Medical Centers · NLLeiden University Medical Center · NLRadboud University Nijmegen · NLUniversity Medical Center Groningen · NLUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It is difficult to assess the risk for aortic dissection beyond the aortic root in patients with Marfan syndrome (MFS). To aid risk assessment in these patients, we investigated aortic flow and wall shear stress (WSS) by 4D flow magnetic resonance imaging (MRI) in patients with MFS and compared the results with healthy volunteers. We hypothesized that MFS patients with a high-risk profile for aortic dissection would show abnormal hemodynamics in aortic regions associated with aortic dissection. Methods: MFS patients (n = 55) and healthy subjects (n = 25), matched for age and sex, prospectively underwent 4D flow MRI. 4D flow maps were constructed to detect elevated (defined as higher than the three-dimensional 95 % confidence interval) and deviant directed (defined as vector angle differences higher than 120°) WSS in MFS patients as compared to the controls. Univariate and multivariate associations with risk factors for aortic dissection in MFS patients were assessed. Results: The maximum incidence for elevated WSS was 20 % (CI 9 %-31 %) and found in the ascending aorta. The maximum for deviant directed WSS was 39 % (CI 26 %-52 %) and found in the inner descending aorta. Significantly more male patients had deviant directed WSS in the inner proximal descending aorta (63 % vs 24 %, p = 0.014). Multivariate analysis showed that deviant directed WSS was associated with male sex (p = 0.019), and a haplo-insufficient FBN1 mutation type (p = 0.040). In 60 % of MFS patients with a previous aortic root replacement surgery, abnormal hemodynamics were found in the ascending aorta. No significant differences between hemodynamics were found in the descending aorta between operated and non-operated patients. Conclusion: Deviant directed WSS in the proximal descending aorta is associated with known risk factors for aortic dissection in MFS patients, namely male sex and a haploinsufficient FBN1 mutation type.

Indexed as

Aortic dissectionCI, confidence intervalClinical ApplicationsCMR, cardiac magnetic resonanceDN, dominant-negativeFBN1, fibrillin-1HI, haploinsufficientIRQ, interquartile rangeMAP, mean arterial pressureMarfan syndromeMFS, Marfan syndromeMRI, magnetic reasonace imagingQuantitative ImagingWall Shear Stress

Identifiers

PMID36268203
PMCPMC9576530
OpenAlexW4306369273

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.